Cognyte
Cognyte
1001 – 5000 Darbinieki
DrošībaKiberdrošībaValdība
Cognyte izstrādā izmeklēšanas analītikas programmatūru valsts iestādēm un citām organizācijām, kas pievēršas drošībai un reaģēšanai uz apdraudējumiem. Tās atvērtā analītikas platforma apvieno lēmumu pieņemšanas, tīklu, operatīvo un apdraudējumu izlūkošanas informāciju, palīdzot komandām sasaistīt atšķirīgus datus, paātrināt izmeklēšanu, kā arī identificēt vai mazināt riskus. Ar trīsdesmit gadu pieredzi tirgū un klientiem vairāk nekā 100 valstīs Cognyte atbalsta izmeklēšanas darbu nacionālās drošības un plašāku drošības operāciju jomā.

Senior Back-End Engineer, Cognyte (Hybrid, Bulgaria)

Build Java microservices for Cognyte’s distributed analytics platform, designing scalable data systems and supporting engineering colleagues. This senior role is based in Bulgaria with a hybrid work arrangement.

Apraksts

  • Build and deploy microservices that process and analyze large datasets across distributed environments.
  • Design systems for high availability, low latency, and scalability.
  • Contribute within a collaborative team using Scrum.
  • Work with product owners, architects, and software engineers across countries to solve complex problems.
  • Help shape technical decisions and strategy in support of the product’s long-term direction.
  • Contribute to product design, architecture, and code refactoring.
  • Review code contributed by other engineers.
  • Mentor junior and mid-level engineers.

Prasības

  • Bring at least eight years of hands-on Java development experience; Spring Framework experience is an advantage.
  • Have hands-on experience building cloud microservices with native technologies such as Kubernetes and Docker, preferably on GCP, AWS, or Azure.
  • Use AI tools effectively to improve development speed and quality.
  • Have experience designing and implementing large distributed systems with Apache Kafka, RabbitMQ, or similar technologies.
  • Bring experience with relational databases, preferably PostgreSQL or MySQL.
  • Have experience with NoSQL databases such as MongoDB.
  • Bring Elasticsearch experience; this is an advantage.
  • Understand testing approaches that support code quality, reliability, and scalability in production.
  • Have familiarity with running AI/ML workloads; this is an advantage.
  • Be fluent in English.
  • Bring a naturally curious mindset.

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